Another mouth yapper! @Mira_Network Kaito Yapper leaderboard
Line, take out a $2.5 million reward pool, just by chatting on Twitter
Mira, allowing the top 200 'yapper' users to share the total supply
0.5% of tokens. Based on the project's $9 million seed round and $500 million
FDV valuation, the top 'yappers' can earn just by talking
$2000-5000

Mira Network's core mission is to solve the 'hallucination' of AI large models
problem. What is a hallucination? Simply put, it is AI talking nonsense seriously. Than
For example, if you ask ChatGPT an unpopular question, it may confidently compile
an answer that seems reasonable, but is full of loopholes. This kind of problem is in gold
Financial transactions, medical diagnoses, legal documents, these 'unaffordable' scenarios,
It's simply fatal

AI is essentially a probability machine, relying on massive data to train language patterns, but
It doesn't really 'understand' what it's talking about. When encountering data blind spots, it relies on
Guess, rely on 'completion', the result is naturally unreliable. The traditional method is to optimize a single
model, but no matter how you adjust it, the randomness of probability has a limit

Mira takes a different approach, abandoning the idea of fighting alone, and instead using 'group wisdom'
Intelligence' to correct errors. How to do it specifically? They split the AI output into 'voices'
Bright pair' (such as 'the market value of a company is X'), and throw it to a decentralized network
Multiple verification models in the network to judge the authenticity, and then through N/M consensus (similar
Blockchain's voting mechanism) determines the result, and finally uses blockchain accounting to ensure
The process is transparent and verifiable. The test data is quite bright, and the accuracy can be improved to
95.6%, which is already very good in high-precision scenarios

This set of logic is a bit like the blockchain solving the 'Byzantine Generals problem',
Using distributed consensus to counter single-point errors, but Mira's goal is AI's
'Cognitive error'. But to be honest, the technical threshold of this thing is not low: how
Ensure that the verification models are different? How to optimize consensus efficiency? User data privacy
How to protect it? These are all tough nuts to crack

The founder @karansirdesai's resume, understands technology and business

Technical backing: Cornell University's research team gave Mira academic
First-mover advantage

Capital support: Framework Ventures, Bitkraft Ventures this
These big-name VCs smashed $9 million, Mechanism Capital,
Accel and others also followed suit, and even Balaji Srinivasan (former Coinbase
These big-name VCs smashed $9 million, Mechanism Capital,

What does this lineup mean? Mira not only has a technical foundation, but also has money and contacts to
push. The seed round valuation of 500 million FDV is not low, and the market obviously values it
good

Back to the beginning, why does Mira engage in the Yapper leaderboard and smash 0.5% of tokens?
community? On the surface, it is burning money to attract popularity, but if you dig deeper, this trick is quite good
Road: Breaking the circle of communication: The technology is too hardcore, what if retail investors don't understand it? Rely on 'mouth
Cannon' breaks down complex logic and explains it

Seize Mindshare: AI Infra track is not only about technology, but also about society
District consensus. The community Yapper is a lever, using short-term incentives to exchange for long-term attention

TGE preheating: Increase community actions, it is estimated that TGE is not far away, we must first take care of the air
Atmosphere Fry Up

This wave of operations is both marketing and strategy. Mira knows very well that technology again
Cattle, no one supports it is useless